Computational Optimal Transport

1 March 2018

Papers citing "Computational Optimal Transport"

50 / 328 papers shown

Title
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation Kilian Fatras Thibault Séjourné Nicolas Courty Rémi Flamary OT 40 146 0 05 Mar 2021
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance) Jan Stanczuk Christian Etmann L. Kreusser Carola-Bibiane Schönlieb GAN 16 48 0 02 Mar 2021
Information-geometry of physics-informed statistical manifolds and its use in data assimilation F. Boso D. Tartakovsky AI4CE 47 8 0 01 Mar 2021
Manifold optimization for non-linear optimal transport problems Bamdev Mishra N. Satyadev Hiroyuki Kasai Pratik Jawanpuria OT 14 10 0 01 Mar 2021
Efficient Discretizations of Optimal Transport Junqi Wang Pei Wang Patrick Shafto OT 16 0 0 16 Feb 2021
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport Adrien Corenflos James Thornton George Deligiannidis Arnaud Doucet OT 43 66 0 15 Feb 2021
Sliced Multi-Marginal Optimal Transport Samuel N. Cohen Alexander Terenin Yannik Pitcan Brandon Amos M. Deisenroth K. S. S. Kumar OT 23 9 0 14 Feb 2021
On Robust Optimal Transport: Computational Complexity and Barycenter Computation Khang Le Huy Le Nguyen Quang H. Nguyen Tung Pham Hung Bui Nhat Ho OT 31 37 0 13 Feb 2021
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization Alexander Korotin Lingxiao Li Justin Solomon Evgeny Burnaev 19 48 0 02 Feb 2021
The Gene Mover's Distance: Single-cell similarity via Optimal Transport Riccardo Bellazzi Andrea Codegoni Stefano Gualandi G. Nicora Eleonora Vercesi OT 26 15 0 01 Feb 2021
Entropy Partial Transport with Tree Metrics: Theory and Practice Tam Le Truyen V. Nguyen OT 38 15 0 24 Jan 2021
Fairness with Continuous Optimal Transport Silvia Chiappa Aldo Pacchiano OT 40 12 0 06 Jan 2021
Minibatch optimal transport distances; analysis and applications Kilian Fatras Younes Zine Szymon Majewski Rémi Flamary Rémi Gribonval Nicolas Courty OT 79 54 0 05 Jan 2021
Convergence and finite sample approximations of entropic regularized Wasserstein distances in Gaussian and RKHS settings M. H. Quang 64 5 0 05 Jan 2021
Transport information Bregman divergences Wuchen Li OT 45 15 0 04 Jan 2021
Unsupervised neural adaptation model based on optimal transport for spoken language identification Xugang Lu Peng Shen Yu Tsao Hisashi Kawai 22 18 0 24 Dec 2020
Entropy-regularized optimal transport on multivariate normal and q-normal distributions Qijun Tong Kei Kobayashi OT 21 7 0 19 Dec 2020
Learning Graphons via Structured Gromov-Wasserstein Barycenters Hongteng Xu Dixin Luo Lawrence Carin H. Zha 59 29 0 10 Dec 2020
Hardness results for Multimarginal Optimal Transport problems Jason M. Altschuler Enric Boix-Adserà OT 29 30 0 10 Dec 2020
LCS Graph Kernel Based on Wasserstein Distance in Longest Common Subsequence Metric Space Jianming Huang Zhongxi Fang Hiroyuki Kasai 23 19 0 07 Dec 2020
Wasserstein k-means with sparse simplex projection Takumi Fukunaga Hiroyuki Kasai 24 12 0 25 Nov 2020
Variational Monocular Depth Estimation for Reliability Prediction Noriaki Hirose S. Taguchi Keisuke Kawano Satoshi Koide MDE 34 4 0 24 Nov 2020
Optimal Transport-based Coverage Control for Swarm Robot Systems: Generalization of the Voronoi Tessellation-based Method Daisuke Inoue Yuji Ito H. Yoshida OT 16 28 0 16 Nov 2020
Sinkhorn Natural Gradient for Generative Models Zebang Shen Zhenfu Wang Alejandro Ribeiro Hamed Hassani GAN DiffM 18 12 0 09 Nov 2020
AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection Hao Zhu Chaoyou Fu Qianyi Wu Wayne Wu Chao Qian Ran He 41 32 0 05 Nov 2020
Distributed Learning of Finite Gaussian Mixtures Qiong Zhang Jiahua Chen 49 8 0 20 Oct 2020
GCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn Normalization Ioannis Papakis Abhijit Sarkar Anuj Karpatne VOT 29 54 0 30 Sep 2020
Distribution Matching for Crowd Counting Boyu Wang Huidong Liu Dimitris Samaras Minh Hoai OT 41 282 0 28 Sep 2020
Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN Gyutaek Oh Byeongsu Sim Hyungjin Chung Leonard Sunwoo J. C. Ye OOD MedIm 30 69 0 29 Aug 2020
Linear Optimal Transport Embedding: Provable Wasserstein classification for certain rigid transformations and perturbations Caroline Moosmüller A. Cloninger OT 25 43 0 20 Aug 2020
Stronger and Faster Wasserstein Adversarial Attacks Kaiwen Wu Allen Wang Yaoliang Yu AAML 22 32 0 06 Aug 2020
Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without Matched Training Data Hyungjin Chung Eunju Cha Leonard Sunwoo J. C. Ye MedIm 28 26 0 04 Aug 2020
Fully distribution-free center-outward rank tests for multiple-output regression and MANOVA Marc Hallin D. Hlubinka Š. Hudecová 37 33 0 30 Jul 2020
Robust Machine Learning via Privacy/Rate-Distortion Theory Ye Wang Shuchin Aeron Adnan Siraj Rakin T. Koike-Akino P. Moulin OOD 22 6 0 22 Jul 2020
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport Gilles Puy Alexandre Boulch Renaud Marlet 3DPC OT 137 183 0 22 Jul 2020
Estimating Barycenters of Measures in High Dimensions Samuel N. Cohen Michael Arbel M. Deisenroth 26 22 0 14 Jul 2020
Improving the Robustness of Trading Strategy Backtesting with Boltzmann Machines and Generative Adversarial Networks Edmond Lezmi Jules Roche T. Roncalli Jiali Xu 26 6 0 09 Jul 2020
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks JiaoJiao Fan Amirhossein Taghvaei Yongxin Chen 42 57 0 08 Jul 2020
Learning to Generate Novel Domains for Domain Generalization Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang OOD 39 445 0 07 Jul 2020
Natural Gradient for Combined Loss Using Wavelets Lexing Ying 21 3 0 29 Jun 2020
Graph Optimal Transport for Cross-Domain Alignment Liqun Chen Zhe Gan Yu Cheng Linjie Li Lawrence Carin Jingjing Liu OT 25 148 0 26 Jun 2020
Optimal Transport for Conditional Domain Matching and Label Shift A. Rakotomamonjy Rémi Flamary Gilles Gasso Mokhtar Z. Alaya Maxime Bérar Nicolas Courty OOD OT 18 25 0 15 Jun 2020
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search Vu-Linh Nguyen Tam Le M. Yamada Michael A. Osborne AI4TS 26 37 0 13 Jun 2020
Learning normalizing flows from Entropy-Kantorovich potentials Chris Finlay Augusto Gerolin Adam M. Oberman Aram-Alexandre Pooladian 33 23 0 10 Jun 2020
The Lipschitz Constant of Self-Attention Hyunjik Kim George Papamakarios A. Mnih 14 135 0 08 Jun 2020
Primal Wasserstein Imitation Learning Robert Dadashi Léonard Hussenot M. Geist Olivier Pietquin 26 124 0 08 Jun 2020
Texture Interpolation for Probing Visual Perception Jonathan Vacher Aida Davila A. Kohn Ruben Coen-Cagli OOD 3DV 27 26 0 05 Jun 2020
Debiased Sinkhorn barycenters H. Janati Marco Cuturi Alexandre Gramfort OT 22 55 0 03 Jun 2020
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport Kyle Swanson L. Yu Tao Lei OT 29 37 0 27 May 2020
Projection to Fairness in Statistical Learning Thibaut Le Gouic Jean-Michel Loubes Philippe Rigollet 27 3 0 24 May 2020